code: def __init__(self, nb_states, nb_actions, hidden1=400, hidden2=300):
      super(Actor, self).__init__()
      self.fc1 = nn.Linear(nb_states, hidden1)
      self.fc2 = nn.Linear(hidden1, hidden2)
      self.fc3 = nn.Linear(hidden2, nb_actions)
      self.relu = nn.ReLU()
      self.sigmoid = nn.Sigmoid()
  
imports: import numpy
  import torch
  import torch.nn
  from torch.optim import Adam
  from .memory import SequentialMemory
  from .utils import to_numpy, to_tensor
label_desc: Use image node_id 1 to create a new Actor object from inherited base classes: nn with example: obj = Actor(nb_states, nb_actions, hidden1, hidden2)